{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "44752f23",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ff592002",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 设置全局中文字体\n",
    "plt.rcParams['font.family'] = 'SimHei'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23c19cb0",
   "metadata": {},
   "source": [
    "## 读取数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1678be92",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = pd.read_excel('./data/体测分数_男生.xls')\n",
    "df2 = pd.read_excel('./data/体测分数_女生.xls')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e6b346a",
   "metadata": {},
   "source": [
    "## 清洗数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e53a7a63",
   "metadata": {},
   "outputs": [],
   "source": [
    "## TODO 清洗数据"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70c65600",
   "metadata": {},
   "source": [
    "## 男1000米跑"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c38c6c39",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '  男1000米跑各分段人数比例  ')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins1 = [-0,60, 80, 100]\n",
    "cast1 = pd.cut(df1['男1000米跑分数'],bins1,right = True,include_lowest=True)\n",
    "# cast1\n",
    "pd.value_counts(cast1).plot(kind = 'pie',autopct = '%0.2f%%')\n",
    "plt.title('  男1000米跑各分段人数比例  ', pad=12, fontsize=20,\n",
    "          backgroundcolor='red', color='white', weight='bold')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9925df6",
   "metadata": {},
   "source": [
    "## 男引体"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "43668dcd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '  男引体各分段人数比例  ')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cast2 = pd.cut(df1['男引体分数'],bins1,right = True,include_lowest=True)\n",
    "# cast1\n",
    "pd.value_counts(cast2).plot(kind = 'pie',autopct = '%0.2f%%')\n",
    "plt.title('  男引体各分段人数比例  ', pad=12, fontsize=20,\n",
    "          backgroundcolor='red', color='white', weight='bold')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "906b036d",
   "metadata": {},
   "source": [
    "## 女800米跑"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4360e8d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '  女800米跑各分段人数比例  ')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# bins3 = [-1,25, 50,75, 100]\n",
    "# cast3 = pd.cut(df1['女800米跑分数'],bins3)\n",
    "# cast3\n",
    "# pd.value_counts(cast3)\n",
    "# pd.value_counts(cast3).values.astype('int64').plot(kind = 'bar')\n",
    "# (pd.value_counts(cast3)).plot(kind = 'bar')\n",
    "plt.hist(df2['女800米跑分数'], bins = 4)\n",
    "plt.grid()\n",
    "plt.title('  女800米跑各分段人数比例  ', pad=12, fontsize=20,\n",
    "          backgroundcolor='red', color='white', weight='bold')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5bfe4446",
   "metadata": {},
   "source": [
    "## 女跳远"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "17625e19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '  女跳远各分段人数比例  ')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# cast4 = pd.cut(df2['女跳远分数'],bins3)\n",
    "# pd.value_counts(cast4).plot(kind = 'bar')\n",
    "plt.hist(df2['女跳远分数'], bins = 4)\n",
    "plt.grid()\n",
    "plt.title('  女跳远各分段人数比例  ', pad=12, fontsize=20,\n",
    "          backgroundcolor='red', color='white', weight='bold')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ed1c5fd",
   "metadata": {},
   "source": [
    "## 清洗数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "9a744094",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 去除无效数据，缺考BIM为0的数据\n",
    "df1.drop(index=df1[df1.BMI == 0].index, inplace=True)\n",
    "df2.drop(index=df2[df2.BMI == 0].index, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f223d1b",
   "metadata": {},
   "source": [
    "## BIM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "3eaa7abb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '  男女生BIM指数统计  ')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins3 = [0,16.4, 23.2,26.3,float('inf')]\n",
    "bins4 = [0,16.4, 22.7,25.2,float('inf')]\n",
    "labels = ['低体重', '正常', '超重', '肥胖']\n",
    "colors = ['g', 'r', 'y', 'b']\n",
    "\n",
    "cast3 = pd.cut(df1['BMI'], bins3, right=False)\n",
    "cast4 = pd.cut(df2['BMI'], bins4, right=False)\n",
    "\n",
    "# pd.value_counts(cast3).plot(kind = 'pie',autopct = '%0.2f%%')\n",
    "male = pd.value_counts(cast3).values\n",
    "female = pd.value_counts(cast4).values\n",
    "\n",
    "fig=plt.figure(figsize=(5,5),dpi=100)\n",
    "# labels = ['[16.4, 23.2)','[23.2, 26.3)','[26.3, 1000.0)','[0.0, 16.4)']\n",
    "def func(pct):\n",
    "    return r'%0.1f'%(pct) + '%'\n",
    "plt.pie(male,autopct=lambda pct: func(pct), radius=1,\n",
    "        colors=colors,labels=labels,\n",
    "        wedgeprops=dict(linewidth=3,width=0.5,edgecolor='w'))\n",
    "\n",
    "# 绘制内部饼图 \n",
    "plt.pie(female, autopct='%0.1f%%', \n",
    "        radius=0.6, pctdistance=0.6, colors=colors,\n",
    "        wedgeprops=dict(linewidth=3,# 间隔宽度\n",
    "                        width=0.6,# 饼图宽度\n",
    "                        edgecolor='w'))#间隔的颜色\n",
    "\n",
    "# 设置图例标题、位置，frameon控制是否显示图例边框，bbox_to_anchor控制图例显示在饼图的外⾯ \n",
    "plt.legend(labels,loc = 'upper right',\n",
    "           bbox_to_anchor = (0.75,0,0.4,1),title = '外-男生 内-女生')\n",
    "plt.title('  男女生BIM指数统计  ', pad=12, fontsize=20,\n",
    "          backgroundcolor='red', color='white', weight='bold')"
   ]
  }
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